Triple

T12740610
Position Surface form Disambiguated ID Type / Status
Subject ulica Wiejska E304478 entity
Predicate hasNearby P350 FINISHED
Object Piękna Street E821605 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Piękna Street | Statement: [ulica Wiejska, hasNearby, Piękna Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piękna Street
Context triple: [ulica Wiejska, hasNearby, Piękna Street]
  • A. Piękna Street chosen
    Piękna Street is a central Warsaw street known for its historic tenement houses and proximity to key government and diplomatic buildings.
  • B. Summer Street
    Summer Street is a major commercial thoroughfare in downtown Boston, Massachusetts, known for its retail shops, offices, and proximity to the Downtown Crossing area.
  • C. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • D. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • E. Millionnaya Street
    Millionnaya Street is a historic central street in Saint Petersburg, Russia, known for its 18th–19th century aristocratic mansions and proximity to major imperial landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c91ed7c81909165dc300d5b23ae completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.